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AI Engineer with 2+ years in Multi-Agent Systems & RAG
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior AI Engineer with 1.5+ years of experience, specializing in shipping 8+ production multi-agent systems in under 4 months. Expert in LangGraph, FastAPI, and Agentic RAG, delivering measurable ROI including 95% faster publishing and 90% reduced operational overhead. Proven ability to bridge complex AI research with scalable, enterprise-grade execution.
COMSATS University Islamabad
Bachelor of Science · Artificial Intelligence
September 1, 2021 – July 1, 2025
EnDevSols (Pvt.) Ltd
AI Engineer
January 1, 2026 – Present
Attock Tehsil, Punjab, Pakistan
EnDevSols (Pvt.) Ltd
Junior AI Engineer
July 1, 2025 – December 1, 2025
Attock Tehsil, Punjab, Pakistan
EnDevSols (Pvt.) Ltd
AI Engineer Intern
January 1, 2025 – June 1, 2025
Attock Tehsil, Punjab, Pakistan
Kind AI
AI Engineer Intern
August 1, 2024 – January 1, 2025
Attock Tehsil, Punjab, Pakistan
AI-Powered Business Incubator
June 24, 2026 – Present
Supervisor-worker multi-agent system compressing an 8-week planning cycle into 2 hours and generating $15K+ in business assets per run, with stateful LangGraph sub-graphs enabling zero-touch idea-to-execution validation and 99% faster time-to-market.
AI-Powered Property Management & Triage System
June 24, 2026 – Present
Autonomous WhatsApp triage agent that classifies unstructured tenant issues in real time, cutting call center load by 90%, backed by a 20-module management dashboard with granular RBAC eliminating 85% of manual ticket routing.
Production-Grade AI Publishing CMS
June 24, 2026 – Present
Agentic multilingual editorial pipeline cutting time-to-publish by 95% across 2 languages, with role-segregated workflows and zero-touch ingestion across separate editorial and administrative pipelines.
Enterprise RAG Knowledge Assistant
June 24, 2026 – Present
Agentic RAG platform with autonomous tool-calling across OneDrive and Google Calendar, cutting retrieval time by 95% across 3 enterprise knowledge silos with sub-second query resolution.
Cultural Fit Analysis
The candidate's project diversity, ranging from business incubators to property management and publishing CMS, indicates adaptability and a broad interest in applying AI across different domains. Their experience in a fast-paced environment delivering multiple concurrent production systems suggests a proactive and results-driven work ethic, aligning well with innovative and high-growth cultures. The continuous progression within the same company (EnDevSols) also points to loyalty and growth potential.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills through complex AI system design and optimization. Their experience in standardizing engineering patterns and owning delivery of multiple production systems suggests leadership potential and operational excellence. The focus on measurable ROI indicates a business-oriented mindset.